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The book explores the intersection of cutting-edge technologies and industrial trends. Researching Artificial Intelligence,... Læs mere
The book covers the methods and application of data analytics in all major areas of finance. It introduces statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis.
As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage... Læs mere
This book explores the application of the complex relationship between concept drift and cutting-edge large language models to address the problems and opportunities in navigating changing data landscapes.
This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory... Læs mere
This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization, tree-based methods including... Læs mere
Linked Open Data for Digital Humanities provides insights into how digital technologies can enrich and diversify humanities scholarship and make it pioneering in the digital age.
The fields of Artificial Intelligence and Machine Learning have grown dramatically in recent years, with an... Læs mere
As the world has entered the era of big data, there is a need to give a semantic perspective to the data to derive meaningful information and make... Læs mere
This handbook provides a comprehensive overview of manufacturing systems, their role in product/process design, and their interconnection with Industry 4.0 perspective, especially related to design, manufacturing, and operations.
This handbook covers smart manufacturing development, processing, modifications, and applications. It provides a complete... Læs mere